Data Scientist

Reposted 2 Months Ago
2 Locations
Hybrid
180K-250K Annually
Mid level
Food • Information Technology • Payments • Software • Hospitality
Helping Independent Restaurants Thrive.
The Role
Design, develop, and deploy end-to-end data science pipelines and predictive models. Collaborate with product, engineering, and business teams to run experiments, implement MLops best practices (CI/CD, versioning, monitoring), and deliver scalable solutions (including LLM/RAG workflows) that improve restaurant operations and business outcomes.
Summary Generated by Built In
About Tarro

Our vision

Tarro is building the future of restaurant infrastructure. The U.S. restaurant industry is a trillion-dollar market, but it remains relatively underserved by technology. Running a restaurant comes with a never-ending list of operational work, and many owners spend most of their day on what they have to do rather than what they want to do. We envision a future where they can delegate that work to Tarro and focus on what they love doing.

Restaurant owners want more orders, better margins, and fewer operational headaches. Giving them software is only part of the answer. Our ecosystem brings phone ordering, online ordering, delivery, point of sale, payments, and marketing into one vertically integrated operation. We combine software, AI, and human operations so independent restaurants can hand that work to us end to end.

Using Tarro should feel like having experienced operators, engineers, and marketers working for your restaurant. Our job is to turn that expertise into services owners can rely on, without having to build those teams themselves.

Our traction

Thousands of restaurants have entrusted Tarro with their success. Since 2020, we’ve processed close to $3 billion in restaurant orders, helped those restaurants serve more than 20 million consumers, and taken an estimated 3 million hours of work off their teams’ hands. And we’re still early in our journey.

Our team

We’re a lean team with top talent from OpenAI, Meta, Google, Tesla, Square, Stripe, Shopify, and Citadel. We’re scrappy builders who love to roll up our sleeves and get into the details of improving a restaurant’s operations. Many of us regularly work in restaurants to experience firsthand what our users deal with.

We move quickly, keep process light, and expect high standards of craft. Our leaders stay hands-on, and our teams have the autonomy to make decisions and the responsibility to see them through.

At Tarro, product judgment and technical execution belong together. You’ll be trusted to understand the restaurant’s problem, decide how to solve it, and carry the solution through to something people use every day. If you want to build products restaurant owners depend on, we’d love to work with you.

What we're looking for:

We are looking to hire a Data Scientist to drive impactful insights and build data-driven solutions across multiple Tarro product areas. In this role, you’ll analyze complex datasets, develop predictive models, and collaborate closely with product, engineering, operations and a variety of stakeholders. You’ll own end-to-end data initiatives, deploy models into production, and play a critical role in shaping Tarro’s growth and evolution. As a key member of our growing team, you’ll move fast, experiment often, and wear many hats to uncover patterns, optimize decision-making, and solve high-impact business challenges.

What you will accomplish:
  • You will be responsible for owning entire data science model pipelines, from development to support

  • You will help make key decisions on the technologies and tools we use as we scale

  • You will write high quality code for all parts of our data science pipelines.

  • You will work closely with Marketing, Sales, Customer Success, Product and other functions to define and execute on data diagnosis, prediction, prescriptive and experimentation requirements

  • You will create scalable data science models following software and data engineering practices like versioning, CI/CD, workflow orchestration, data ops and ml ops

  • You will implement rigorous code reviews and testing guidelines to ensure that we have a high quality data science products

  • You will create and improve our data science CI/CD pipeline to enable high developer velocity

  • You will help in improving the life of independent restaurant owners and ultimately their customers

About you:
  • You have Bachelors in Computer Science or Engineering, Statistics, or equivalent experience.

  • You have 3+ years of ELT/ETL, data exploration, transformation and building production models.

  • You have 3+ years working with cloud databases, such as Snowflake, Redshift or similar

  • Practical experience with statistical testing (p/t/z tests, power analysis), time series, regression/classification, clustering, and NLP.

  • You have experience with programming languages such as Python and its usage for data processing, making API calls along with Advanced SQL

  • You have built with at least one of OpenAI/Anthropic/Google/OSS (Llama/Mistral), using embeddings, RAG (vector DB + hybrid search + re-ranking), prompt engineering, function/tool calling, JSON-schema outputs, and evaluation frameworks (e.g., prompt/unit tests, hallucination checks).

  • You have exposure to MLflow or equivalent for experiment tracking/model registry; data & model versioning; orchestration (Dagster/Airflow); containerization (Docker) and monitoring (latency, cost, quality)

  • You have exceptional product sense, communication and bias to ship

Bonus Points:
  • You have experience with dbt, Dagster, MLflow/DVC, Weights & Biases, or Feast/feature stores.

  • You are obsessed with data and patterns to solve business problems.

  • You will be jumping in deep into a new territory for the business, and you have a strong hunger to learn along with us.

  • You got Restaurant tech or marketplace/logistics experience; you’re customer-obsessed and love turning noisy operational data into outcomes.

Skills Required

  • Bachelor's in Computer Science, Engineering, Statistics, or equivalent experience
  • 3+ years of ELT/ETL, data exploration, transformation and building production models
  • 3+ years working with cloud databases such as Snowflake, Redshift or similar
  • Practical experience with statistical testing (p/t/z tests, power analysis), time series, regression/classification, clustering, and NLP
  • Experience with Python and Advanced SQL
  • Experience building with OpenAI/Anthropic/Google/OSS LLMs (Llama/Mistral), using embeddings, RAG (vector DB + hybrid search + re-ranking), prompt engineering, function/tool calling, and JSON-schema outputs
  • Experience with evaluation frameworks for prompts and models (e.g., prompt/unit tests, hallucination checks)
  • Exposure to MLflow or equivalent for experiment tracking/model registry; data & model versioning; orchestration (Dagster/Airflow); containerization (Docker); monitoring (latency, cost, quality)
  • Exceptional product sense, strong communication skills, and bias to ship
  • Experience with dbt, Dagster, MLflow/DVC, Weights & Biases, or Feast/feature stores
  • Experience in restaurant tech or marketplace/logistics

Tarro Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tarro and has not been reviewed or approved by Tarro.

  • Fair & Transparent Compensation — Pay bands are explicitly listed for multiple roles, including higher ranges for senior technical positions, which signals clearer expectations at the offer stage.
  • Healthcare Strength — Health, dental, and vision coverage are explicitly described as part of a comprehensive or premium benefits package.
  • Flexible Benefits — Flexible remote work is emphasized as a core part of the benefits package, and learning allowances are positioned as an ongoing support benefit.

Tarro Insights

Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: San Francisco, CA
1,300 Employees
Year Founded: 2015

What We Do

Tarro was born out of our personal struggles running a take-out restaurant for 10+ years. We know first-hand that small restaurant owners work far too hard to earn razor-thin margins. On top of that, enterprise software vendors offer technology solutions that don’t always work for small restaurants. At Tarro, we use a combination of bits (technology) and atoms (real people) to solve real-world problems facing restaurants. Today, we’ve helped more than 1,800 restaurant owners increase profits and secure a better future for their families. As we’ve grown, our founding principle has never changed: we aim to help independent restaurant owners realize their dreams. Tarro has achieved significant growth over the past two years, growing annual re-occurring revenue by almost 4x to $46 million and quadrupling our customer base of mom-and-pop restaurants.

Why Work With Us

If you want to be part of a hyper-growth and profitable technology company–that’s backed by institutional investors - Tarro is the place for you. Based in Long Island City (aka Queens, NY), we seek creative thinkers who are passionate about using technology to solve the biggest problems facing independent restaurant owners.

Gallery

Gallery

Similar Jobs

Superhuman Logo Superhuman

Data Scientist

Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Hybrid
3 Locations
1500 Employees
180K-275K Annually

Centerfield Logo Centerfield

Data Scientist

AdTech • Consumer Web • Digital Media • eCommerce • Marketing Tech • SEO
Hybrid
Los Angeles, CA, USA
890 Employees
95K-115K Annually

VCA Animal Hospitals Logo VCA Animal Hospitals

Data Scientist

Pet • Professional Services
In-Office
Los Angeles, CA, USA
35000 Employees
108K-161K Annually

Doximity Logo Doximity

Data Scientist

Healthtech • Information Technology • Mobile • Productivity • Software • Analytics • Telehealth
Easy Apply
In-Office or Remote
2 Locations
740 Employees
110K-150K Annually

Similar Companies Hiring

Revel Thumbnail
Aerospace • Hardware • Robotics • Software
Marina Del Rey, California
70 Employees
Blee Thumbnail
Artificial Intelligence • Marketing Tech • Software
New York, New York
33 Employees
RapidScale Thumbnail
Cloud • Information Technology • Consulting
Raleigh, NC
600 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account